Titlebook: Computational Intelligence and Intelligent Systems; 6th International Sy Zhenhua Li,Xiang Li,Zhihua Cai Conference proceedings 2012 Springe

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Applying Support Vector Machine to Time Series Prediction in Oracle future value of the time series. To build SVM model, firstly the trend in time series must be removed, and the target attribute should be normalized. secondly the size of the time window in which include all the lagged values should be determined, thirdly the machine learning method is used to cons

ectropion

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MapReduce-Based Bayesian Automatic Text Classifier Used in Digital Library as digital library. How to process data efficiently becomes a vital problem for the further development of digital library. Because Mapreduce model has strong capacity of processing mass data, Mapreduce-based Bayesian classifier can reduce the time that is caused by machine learning and therefore e

Unsaturated-Fat

Hyaluronic-Acid

Preferences Predictions of Learning Objects Supported by Collaborative Recommendationsceive recommendations based on outcomes of tests they have already taken. In this paper we explore methods from formal concept analysis for predicting students’ preferences with respect to learning objects going to be suggested to them before they have taken relevant tests.

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cinder

愚蠢人

An Improved Bayesian Inference Method for Data-Intensive Computing

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